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feat: implement recommendation engine architecture with chatbot logic, intent classification, and project validation modules.
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from src.recommendation_engine.chatbot_engine import chatbot
USER_ID = "test_user"
def interactive():
print("\n===== INTERACTIVE MODE =====\n")
while True:
user_input = input("YOU: ")
if user_input.lower() in ["exit", "quit"]:
break
response = chatbot(USER_ID, user_input)
print("\nBOT:")
print(response)
print("\n----------------------\n")
interactive()